BSc CSIT (TU) Science Artificial Intelligence (BSc CSIT, CSC261) Question Paper 2077
This is the official BSc CSIT (TU) (Science stream) Artificial Intelligence (BSc CSIT, CSC261) question paper for 2077, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Artificial Intelligence (BSc CSIT, CSC261) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Artificial Intelligence (BSc CSIT, CSC261) exam or solving previous years' question papers, this 2077 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Explain adversarial search. Describe the Minimax algorithm and Alpha-Beta pruning with an example game tree.
What is an expert system? Explain its architecture, components, and the role of the inference engine and knowledge base with applications.
Explain the concept of fuzzy logic. Discuss fuzzy sets, membership functions, and the structure of a fuzzy inference system with an example.
Section B: Short Answer Questions
Attempt any EIGHT questions.
What is a semantic network? Explain with an example.
Explain the frame-based knowledge representation scheme.
What is an activation function? List any two activation functions.
Differentiate between supervised and unsupervised learning.
Explain the concept of overfitting in machine learning.
What is genetic algorithm? Explain its basic operators.
Explain the Wumpus world problem in brief.
Differentiate between depth-first search and best-first search.
What is the goal of unification in predicate logic?